Clinical evaluation of super-resolution for brain MRI images based on generative adversarial networks

Clinical evaluation of super-resolution for brain MRI images based on generative adversarial networks

In magnetic resonance imaging (MRI), reducing long scan times is an urgent issue that could be addressed with super-resolution (SR) techniques. Most of the SR networks using deep neural networks (DNNs) have been evaluated only based on numeric metrics, and the image restoration quality for individua...

Full description

Bibliographic Details
Main Authors: Yasuhiko Terada, Tomoki Miyasaka, Ai Nakao, Satoshi Funayama, Shintaro Ichikawa, Tomohiro Takamura, Daiki Tamada, Hiroyuki Morisaka, Hiroshi Onishi
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Deep neural networks
Super-resolution
Clinical evaluation
Generative adversarial networks
Brain MRI
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822001721

Internet

http://www.sciencedirect.com/science/article/pii/S2352914822001721

Similar Items